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Senior Full Stack GenAI Engineer Agentic AI / Knowledge Graphs

Dallas, TX, US • Posted 11 hours ago • Updated 11 hours ago

Contract W2

Contract Independent

On-site

Depends on Experience

Fitment

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Job Details

Skills

Java
Python
React
TypeScript
Neo4j
Neptune
Agentic AI
Agentic Coding
AWS S3
AWS Lambda
LLM
LangGraph
Knowledge Graph
Ontology
Semantic Modeling
RAG
Vector Search
Embeddings
MCP
Tool Calling Copy Keywords

Summary

Senior Full Stack GenAI Engineer Agentic AI / Knowledge Graphs

Location: Dallas, TX
Work Arrangement: 100% Onsite 5 Days/Week
Employment Type: Contract

Job Description

We are looking for a highly skilled Senior Full Stack GenAI Engineer for our client, American Airlines, in Dallas, TX.

The ideal candidate should have strong hands-on experience in Java/Python, React, TypeScript, Generative AI, Agentic AI, LangGraph, Knowledge Graphs, and AWS cloud services.

The role involves developing full-stack AI applications, implementing LLM-powered agentic workflows, integrating graph databases, and building Retrieval-Augmented Generation (RAG) solutions.

Key Responsibilities

Design, develop, and maintain full-stack applications using Java/Python, React, and TypeScript.
Develop Agentic AI applications and AI-assisted coding workflows.
Implement LLM-powered solutions using LangGraph.
Work with Neo4j and Amazon Neptune for graph-based data applications.
Develop and integrate Knowledge Graphs, ontologies, and semantic models.
Build RAG solutions using vector search, embeddings, and retrieval techniques.
Implement MCP (Model Context Protocol), tool use, and AI agent integrations.
Develop cloud-native solutions using AWS S3 and AWS Lambda.
Integrate AI capabilities with enterprise applications and APIs.
Collaborate with cross-functional teams to deliver scalable AI-powered applications.

Required Technical Skills

Programming: Java, Python
Frontend: React.js, TypeScript
Graph Databases: Neo4j, Amazon Neptune
Agentic AI: Agentic Coding, AI Agents, LangGraph
Generative AI: LLMs, Generative AI
Cloud: AWS S3, AWS Lambda
Knowledge Engineering: Knowledge Graphs, Ontologies, Semantic Modeling
RAG: Vector Search, Embeddings, Retrieval
AI Integration: MCP, Tool Use, API Integration

Required Qualifications

- Strong hands-on software development experience with Java or Python.
- Experience developing frontend applications using React and TypeScript.
- Experience with Neo4j or Amazon Neptune.
- Practical knowledge of Agentic AI, LLMs, and LangGraph.
- Experience implementing Knowledge Graphs, ontologies, or semantic modeling.
- Hands-on experience developing RAG applications with vector search and embeddings.
- Experience with AWS S3 and Lambda.
- Understanding of MCP and AI tool integration.
- Excellent problem-solving and communication skills.
- Must be able to work onsite 5 days per week in Dallas, TX.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90661967
Position Id: 9111026
Posted 11 hours ago

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